conversation about maximising value from customer insight

Data Science programming languages: (2) Resources for Python

As promised in our previous post, for the R programming language, this one will focus on resources for Python. Although R may have a longer heritage within the Statistics and Data Science community, Python could be described as a more complete programming language. In my conversations with clients and Data Science leaders, I’ve also heard a number praise Python as much quicker to learn. So,although both languages are proving popular.. Read More

Data Science programming languages: (1) Resources for R

This month, let’s turn our attention to Data Science programming languages; today, resources for R. Ever since the rise of R as an alternative to traditional statistical packages (like SAS, IBM Analytics etc), there has been a growing focus on coding. In the past I have tended to avoid these programming languages as a topic for this blog, as I have some concerns. Namely that the role of insight analysts,.. Read More

Results of survey for Data Insight Leaders Summit 2017

During our month focussed on research, it seems appropriate to share with you my latest research for Data Insight Leaders Summit 2017. This annual survey is the second of its kind and is published as part of the run-up, to the Data Insight Leaders Summit 2017, in Barcelona on 18-19 October.  A great conference that I will again have the privilege of chairing this year; you may recall my brief.. Read More

Data Visualisation books – our third set of resources for you

During our month with more focus on Data Visualisation, we should not overlook data visualisation books. I hope our previous posts, focussing on Data Viz blogs and twitter experts have helped your personal development. But, even in this digital age, we should not overlook the power of books. Whether you invest in hard copy or digital versions, the longer form of books often give opportunity to better structure information for.. Read More

Working towards the Virtuous Cycle: latest research on trust & data sharing

Last week, after a very tasty bacon butty, I was sharing on the topics of Trust, Data Sharing & Identity Management, working towards recommending a Virtuous Cycle of improvement. All in the fine surroundings of the Royal Institute. It’s been a pleasure this year to partner with MyCustomer.com, to deliver a number of breakfast briefings. This one was more substantive, as it was also to reveal the findings of my latest.. Read More

Data Visualisation tweets: Top Nine experts to follow on Twitter

As promised in an earlier post, sharing recommended blogs, it’s time to move onto data visualisation tweets. In this post, I’m going to recommend some Data Visualisation experts to follow on Twitter, both because of their own content and the wider resources they curate and share. I hope you found the previously recommended blogs useful. If you are serious about improving your (or your team’s) data visualisation skills, I would.. Read More

Quick data visualisations – taking inspiration from election graphs

One of the understandable concerns raised, when I train analysts, is how they can produce quick data visualisations. After we study the design principles and options to consider, it can seem that to do a quality job takes longer than they normally have. Many analysts complain that timescales are squeezed and corporate life increasingly frenetic, as leaders just want ‘good enough’ answers and want them now. However, experienced data visualisers.. Read More